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About the role
This role is ideal for an experienced software engineer who can independently deliver production-ready SaaS capabilities and customer-facing AI experiences using modern AI-native engineering practices.
Accruent is seeking an AI Software Engineer II to join the VX Suite engineering organization, supporting the Maintain, Observe, and Sustain product portfolio.
This role is ideal for an experienced software engineer who can independently deliver production-ready SaaS capabilities and customer-facing AI experiences using modern AI-native engineering practices. You will leverage approved AI development tools, agentic workflows, software factory capabilities, and cloud-native technologies to build, test, deploy, and support scalable solutions that help customers manage assets, monitor equipment, automate operational workflows, and maintain regulatory compliance.
As an AI Software Engineer II, you will own moderately complex work from requirement clarification through deployment and post-release validation. You will contribute to both product delivery and continuous improvement of engineering practices, helping the organization accelerate software delivery while maintaining quality, security, reliability, and customer trust.
What You'll Do
AI-Native Software Development
Independently deliver SaaS product features, integrations, APIs, workflow capabilities, automated tests, documentation, and deployment artifacts using AI-native development practices.
Complete the full software development lifecycle (SDLC) using agentic workflows, including requirement clarification, solution design, implementation, testing, validation, release preparation, and post-release support.
Build and enhance customer-facing AI-powered experiences, including intelligent workflows, automation capabilities, retrieval-augmented solutions, tool-enabled agents, and governed business processes.
Improve AI-generated output quality through effective prompt engineering, context management, reusable templates, repository guidance, and automated validation workflows.
Design and maintain automated tests, quality gates, and validation processes that ensure AI-generated code meets production standards.
Show the full description
Maintain, Observe, Sustain Product Development
Develop backend services, APIs, and platform capabilities supporting maintenance management, asset intelligence, operational monitoring, environmental compliance, and enterprise workflows.
Build integrations with enterprise applications, third-party platforms, building systems, equipment monitoring systems, devices, sensors, and operational technologies.
Design and maintain scalable services that collect, process, and operationalize large volumes of maintenance, telemetry, monitoring, and compliance data.
Develop solutions that leverage operational and equipment data to support intelligent automation, predictive insights, anomaly detection, and data-driven decision-making.
Design and implement event-driven architectures, distributed systems, and scalable data processing solutions to support operational workflows and customer outcomes.
Collaboration & Engineering Excellence
Partner with Product Management, Architecture, QA, DevOps, SRE, Security, Support, and Customer Success teams to deliver reliable customer-facing solutions.
Participate in technical design discussions and contribute to architecture decisions.
Analyze engineering workflows and identify opportunities to reduce friction, improve automation, increase quality, and accelerate delivery.
Mentor AI Software Engineer I team members on agentic development patterns, test-first approaches, validation practices, and engineering best practices.
Contribute reusable prompts, templates, workflows, and harness improvements that increase team productivity.
What they ask for vs. your profile
Must have
SaaS
Telemetry
Azure
Git
Training and coaching
AWS
CI/CD
Communication
Customer success
DevOps
Required Qualifications
3+ years of professional software engineering experience.
Proven ability to deliver production software in SaaS, cloud, or enterprise software environments.
Strong experience with at least one modern technology stack and the ability to adapt across languages, frameworks, and platforms.
Hands-on experience using AI-assisted development tools such as GitHub Copilot, Copilot CLI, VS Code, Copilot Chat, Cursor, Claude Code, or similar technologies.
Experience designing and building APIs, backend services, microservices, or distributed systems.
Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.
Ability to decompose ambiguous requirements into actionable specifications, prompts, implementation plans, tests, and pull requests.
Experience designing, developing, and maintaining automated tests and CI/CD pipelines.
Strong understanding of software quality, observability, secure coding practices, and production support.
Demonstrated ability to review, debug, refactor, and validate AI-generated software.
Strong communication skills and the ability to explain technical decisions, tradeoffs, risks, and validation evidence.
Preferred Qualifications
Experience with GitHub Copilot custom instructions, prompt files, custom agents, MCP servers, agent handoff workflows, or similar AI development capabilities.
Experience building customer-facing AI solutions, agentic workflows, retrieval-augmented applications, workflow automation solutions, or tool-integrated LLM applications.
Experience designing and implementing event-driven architectures using technologies such as Kafka, RabbitMQ, Azure Service Bus, Event Hubs, or similar platforms.
Experience building scalable data ingestion and processing pipelines.
Experience integrating enterprise applications, industrial systems, building automation systems, sensors, devices, and third-party platforms.
Familiarity with protocols and technologies such as BACnet, SNMP, Modbus, OPC UA, TCP/IP, or similar operational technologies.
Experience developing solutions that support predictive analytics, anomaly detection, intelligent automation, operational intelligence, or asset performance optimization.
Experience with Docker, Kubernetes, and containerized cloud-native applications.
Familiarity with AI evaluation techniques, prompt testing, grounding strategies, hallucination mitigation, data privacy controls, and human-in-the-loop workflows.
Experience working in Linux environments and Bash scripting.
Experience working within globally distributed engineering organizations.
What You'll Work On
Maintain
Work order management
Preventive maintenance workflows
Asset lifecycle management
Vendor and contractor integrations
Operational reporting and analytics
Workflow automation capabilities
Observe
Real-time monitoring and alerting
Equipment telemetry ingestion and processing
Predictive maintenance capabilities
Asset intelligence solutions
Energy management and operational insights
Automated maintenance triggers based on equipment conditions
Sustain
Environmental compliance workflows
Refrigerant management and tracking
Regulatory reporting solutions
Sustainability initiatives
Operational compliance processes
Shared Platform Services
Scalable APIs and backend services
Enterprise and third-party integrations
Data ingestion and processing pipelines
Event-driven architecture
Operational intelligence capabilities
Monitoring, observability, and reliability services
Success Looks Like
You independently deliver medium-complexity SaaS capabilities and AI-enabled experiences using agentic SDLC workflows.
Your work includes robust testing, observability, documentation, security considerations, and production-readiness evidence.
You deliver reliable solutions that improve customer productivity, automation, operational visibility, and business outcomes.
You effectively leverage operational, maintenance, telemetry, and enterprise data to create meaningful customer value.
You improve engineering velocity without sacrificing quality, maintainability, or customer trust.
You create reusable prompts, workflows, validation patterns, and automation capabilities adopted by other engineers.
You reduce cycle time, review churn, manual effort, and rework across the engineering team.
Global Collaboration Requirements
This role is part of a globally distributed engineering organization with significant collaboration across North America and the United Kingdom.
Candidates must be able to maintain at least 4 hours of daily overlap with UK business hours to support sprint ceremonies, architectural discussions, planning sessions, production support activities, and cross-team collaboration. Flexibility in working hours is expected to ensure effective partnership across time zones.
Why Join Us
You'll help build the next generation of enterprise software that combines maintenance management, operational monitoring, asset intelligence, environmental compliance, and AI-powered automation into a unified platform.
This role offers the opportunity to work on challenging technical problems involving AI-enabled applications, distributed systems, cloud-native services, telemetry processing, enterprise integrations, large-scale SaaS platforms, and intelligent workflow automation while collaborating with talented engineering teams across the globe.
Fortive Corporation Overview
Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
About Accruent
Personal development and becoming the best you is all about growth and exploring new skills and opportunities – both in and out of the office. At Accruent, we call this Grow Without Limits, and we’re proud to offer each of our employees the resources, coaching and support necessary to achieve Growth Without Limits in their personal and professional lives. Explore where the path takes you.
Accruent is a leading provider of solutions for unifying the built environment —spanning real estate, physical and digital assets, and the integrated technology systems that connect and control them. Accruent continues to set new expectations for how organizations can use data to transform how they manage their facilities and assets. With U.S. headquarters in Austin, Texas, Accruent serves over 5,000 customers in a wide range of industries in more than 100 countries worldwide.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
Pay Range
The salary range for this position (in local currency) is 109,700.00 - 183,200.00.
Base pay offered may vary depending on various factors, including, but not limited to: job-related knowledge; skills; experience; and other eligibility factors such as geographic location. The Total Rewards package includes competitive base pay and an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work.
